/*
 * Copyright 2015 the original author or authors.
 *
 * Licensed under the Apache License, Version 2.0 (the "License");
 * you may not use this file except in compliance with the License.
 * You may obtain a copy of the License at
 *
 * http://www.apache.org/licenses/LICENSE-2.0
 *
 * Unless required by applicable law or agreed to in writing, software
 * distributed under the License is distributed on an "AS IS" BASIS,
 * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
 * See the License for the specific language governing permissions and
 * limitations under the License.
 */
package org.springframework.xd.spark.streaming.examples.scala

import java.io.{BufferedWriter, File, FileWriter, IOException}
import java.util.Properties

import org.apache.spark.streaming.dstream.{DStream, ReceiverInputDStream}
import org.springframework.xd.spark.streaming.SparkConfig
import org.springframework.xd.spark.streaming.scala.Processor

/**
 * @author Mark Fisher
 * @author Ilayaperumal Gopinathan
 */
class Logger extends Processor[String, String] {

  @SparkConfig def getSparkConfigProperties: Properties = {
    val props: Properties = new Properties
    // Any specific Spark configuration properties would go here.
    // These properties always get the highest precedence
    //props.setProperty("spark.master", "local[4]")
    return props
  }

  def process(input: ReceiverInputDStream[String]): DStream[String] = {
    input.foreachRDD(rdd => {
      rdd.foreachPartition(partition => {
        try {
          while (partition.hasNext) {
            System.out.println(partition.next.toString + System.lineSeparator)
          }
        }
        catch {
          case ioe: IOException => {
            throw new RuntimeException(ioe)
          }
        }
      })
    })
    null
  }
}
